New necessary and sufficient conditions for absolute stability of neural networks

Neural Networks

Volumn 20, Issue 1, 2007, Pages 94-101

  Chu, Tianguang ^a   Zhang, Cishen ^b  

^a Center for Systems and Control   (China)

^b NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

Author keywords

Absolute stability; Asymmetric connection; Exponential convergence; Global asymptotic stability; Neural networks; Solvable Lie algebra condition

Indexed keywords

CONVERGENCE OF NUMERICAL METHODS; MATRIX ALGEBRA; NUMERICAL METHODS; PARAMETER ESTIMATION; ROBUSTNESS (CONTROL SYSTEMS); SYSTEM STABILITY;

ABSOLUTE STABILITY; ASYMMETRIC CONNECTION; EXPONENTIAL CONVERGENCE; GLOBAL ASYMPTOTIC STABILITY; SOLVABLE LIE ALGEBRA CONDITION;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; MATHEMATICAL ANALYSIS; MATHEMATICS; PRIORITY JOURNAL;

ALGORITHMS; COMPUTER SIMULATION; HUMANS; MODELS, NEUROLOGICAL; NEURAL NETWORKS (COMPUTER); NONLINEAR DYNAMICS;

EID: 33845656996     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2006.06.003     Document Type: Article

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